Technologien der Energiewende
Batterien, Wasserstoff, Netzspeicher, erneuerbare Energien und ihre Lieferketten, Versagensarten und Transitionsrisiken.
1
Exposition gegenüber der Klimatransition
111
4 index domains
29
Frontier and exponential technology · Built systems
56
Energy risk · Markets, trade and supply chains.
Scope and questions
The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.
- Which transition technologies carry concentrated supply risk?
- What new failure modes do they introduce?
- How do they shift energy security?
Domain indices to the series index
The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.
How the Energy transition technologies index is built
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Exposition gegenüber der KlimatransitionDomain index · IDX · CLI0–10 index of an economy’s exposure to a low-carbon transition, combining transition exposure (fossil rents, fuel exports, subsidies) and emissions intensity (per capita and per unit of GDP).
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Energy transition technologies indexSeries index · SERIES · XT-13Batterien, Wasserstoff, Netzspeicher, erneuerbare Energien und ihre Lieferketten, Versagensarten und Transitionsrisiken.
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Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
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Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
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Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Domain indices in this series
| Index | Wert | Veränderung | Veränderung % | 90%-Intervall | Klasse · Wahrscheinlichkeit | Trend | Spanne |
|---|---|---|---|---|---|---|---|
Exposition gegenüber der KlimatransitionNXS-GRX · CLI |
– | – | – | – | – |
Domains read: Energy, Technology and frontier, Economic structure and trade, Climate.
111 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| Indikator | Domäne | Sub-domain | Komponente | Einheit | Ebenen | Crosswalks |
|---|---|---|---|---|---|---|
Exporte von Waren und Dienstleistungen, in laufenden US-DollarIND.MAC.external.exports.usd |
MAC | External balance and reserves | context | [USD] |
COUNTRY | WB_WDI BX.GSR.GNFS.CD WB_WDI NE.EXP.GNFS.CD |
Volatilität der Terms of Trade (10 Jahre)IND.MAC.external.terms_of_trade_volatility |
MAC | External balance and reserves | vulnerability | % |
COUNTRY | |
Einnahmen aus natürlichen Ressourcen, Anteil an den Einnahmen des GesamtstaatsIND.FIS.revenue.resource_revenue_share |
FIS | Revenue | vulnerability | % |
COUNTRY | |
Bankexposition gegenüber CO2-intensiven SektorenIND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Bankkredite mit hohem physischem KlimarisikoIND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Handelsoffenheit (Exporte plus Importe, Anteil am BIP)IND.ECO.trade.trade_openness.gdp |
ECO | Handel | exposure | % |
COUNTRY | WB_WDI NE.TRD.GNFS.ZS |
Einnahmen aus internationalem Tourismus, Anteil an den ExportenIND.ECO.trade.tourism_receipts.exports |
ECO | Handel | vulnerability | % |
COUNTRY | WB_WDI ST.INT.RCPT.XP.ZS |
Erhaltene private Rücküberweisungen, Anteil am BIPIND.ECO.trade.remittances.gdp |
ECO | Handel | exposure | % |
COUNTRY | WB_WDI BX.TRF.PWKR.DT.GD.ZS SDG 17.3.2 |
Erhaltene öffentliche Netto-Entwicklungshilfe, Anteil am BNEIND.ECO.trade.oda_dependence.gni |
ECO | Handel | exposure | % |
COUNTRY | WB_WDI DT.ODA.ODAT.GN.ZS |
Konzentration der Exportprodukte (normalisierter HHI)IND.ECO.concentration.export_product_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Konzentration der Exportmärkte (normalisierter HHI)IND.ECO.concentration.export_market_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Abhängigkeit von RohstoffexportenIND.ECO.concentration.commodity_export_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN WB_WDI TX.VAL.MMTL.ZS.UN WB_WDI TX.VAL.FOOD.ZS.UN WB_WDI TX.VAL.AGRI.ZS.UN |
Industrieerzeugnisse, Anteil an den WarenexportenIND.ECO.concentration.manufactures_export_share |
ECO | Export and import concentration | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.MANF.ZS.UN |
Renten aus natürlichen Ressourcen, Anteil am BIPIND.ECO.concentration.natural_resource_rents.gdp |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
Index der wirtschaftlichen KomplexitätIND.ECO.concentration.economic_complexity |
ECO | Export and import concentration | adaptive capacity | {score} |
COUNTRY | |
Nahrungsmittelimporte, Anteil an den WarenimportenIND.ECO.concentration.food_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FOOD.ZS.UN |
Brennstoffimporte, Anteil an den WarenimportenIND.ECO.concentration.fuel_import_share |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Nettoimportabhängigkeit bei kritischen MineralienIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Konzentration der Importherkunft (normalisierter HHI)IND.ECO.concentration.import_partner_hhi |
ECO | Export and import concentration | vulnerability | 1 |
COUNTRY | |
Ausländischer Wertschöpfungsanteil an den BruttoexportenIND.ECO.supply_chain.gvc_backward_participation |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Lieferantenkonzentration bei VorleistungsimportenIND.ECO.supply_chain.intermediate_supplier_concentration |
ECO | Supply-chain exposure | vulnerability | % |
COUNTRY | |
Seehandel mit Exposition gegenüber maritimen EngpässenIND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Nettozuflüsse ausländischer Direktinvestitionen, Anteil am BIPIND.ECO.investment.fdi_inflows.gdp |
ECO | Anlage | coping capacity | % |
COUNTRY | WB_WDI BX.KLT.DINV.WD.GD.ZS |
Oberflächenerwärmung seit vorindustrieller ZeitIND.CLI.physical_chronic.warming_since_preindustrial |
CLI | Chronic physical change | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
Veränderung des JahresniederschlagsIND.CLI.physical_chronic.precipitation_change |
CLI | Chronic physical change | hazard | % |
COUNTRY, ADM1, GRID | |
Rate des relativen MeeresspiegelanstiegsIND.CLI.physical_chronic.relative_sea_level_trend |
CLI | Chronic physical change | hazard | mm/a |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
Heißester Tag des Jahres (TXx)IND.CLI.physical_acute.txx |
CLI | Acute climate extremes | hazard | Cel |
COUNTRY, ADM1, CITY, GRID | |
Anteil warmer Tage (TX90p)IND.CLI.physical_acute.tx90p |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Veränderung der sehr heißen Tage (35 °C oder mehr)IND.CLI.physical_acute.hot_days_change |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | |
Dauer von Wärmeperioden (WSDI)IND.CLI.physical_acute.warm_spell_duration |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, GRID | |
Niederschlagsreichster Tag des Jahres (Rx1day)IND.CLI.physical_acute.rx1day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, CITY, GRID | |
Niederschlagsreichste fünf Tage des Jahres (Rx5day)IND.CLI.physical_acute.rx5day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, GRID | |
Niederschlag an sehr nassen Tagen (R95pTOT)IND.CLI.physical_acute.very_wet_day_share |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Längste Trockenperiode (CDD)IND.CLI.physical_acute.consecutive_dry_days |
CLI | Acute climate extremes | hazard | d |
COUNTRY, ADM1, GRID | |
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.share |
CLI | Acute climate extremes | exposure | % |
SITE, PORTFOLIO | IFRS_S2 29(c) |
Projizierte Erwärmung seit vorindustrieller ZeitIND.CLI.projection.projected_warming |
CLI | Scenario projections | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | |
Projizierte Veränderung der Temperatur des heißesten TagesIND.CLI.projection.projected_txx_change |
CLI | Scenario projections | hazard | K |
COUNTRY, ADM1, GRID | |
Projizierte Veränderung des Niederschlags der fünf niederschlagsreichsten TageIND.CLI.projection.projected_rx5day_change |
CLI | Scenario projections | hazard | % |
COUNTRY, ADM1, GRID | |
Projizierter relativer MeeresspiegelanstiegIND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
Bevölkerung unterhalb des künftigen 100-jährlichen Küstenhochwasserniveaus, AnteilIND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Gesamte Treibhausgasemissionen ohne LULUCFIND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
Treibhausgasemissionen pro KopfIND.CLI.emissions.ghg_per_capita |
CLI | Emissions | exposure | t/a/{person} |
COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
CO2-Intensität des BIPIND.CLI.emissions.carbon_intensity_gdp |
CLI | Emissions | exposure | kg/[USD] |
COUNTRY | WB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1 |
Financed emissions of a portfolioIND.CLI.emissions.financed_emissions |
CLI | Emissions | exposure | Mt/a |
PORTFOLIO | IFRS_S2 29(a)(vi) |
Renten aus fossilen Brennstoffen, Anteil am BIPIND.CLI.transition.fossil_fuel_rents.gdp |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS |
Brennstoffexporte, Anteil an den WarenexportenIND.CLI.transition.fossil_fuel_exports.share |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
Explizite Subventionen für fossile Brennstoffe, Anteil am BIPIND.CLI.transition.fossil_fuel_subsidies.gdp |
CLI | Transition exposure | exposure | % |
COUNTRY | |
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.share |
CLI | Transition exposure | exposure | % |
PORTFOLIO | IFRS_S2 29(b) |
Gesamtwirtschaftliches NDC-Emissionsziel 2030IND.CLI.transition.ndc_target_ambition |
CLI | Transition exposure | response | % |
COUNTRY | SDG 13.2.1 |
Nationaler Anpassungsplan eingereichtIND.CLI.adaptation.nap_submitted |
CLI | Adaptation readiness | adaptive capacity | {bool} |
COUNTRY | SDG 13.2.1 |
Wirtschaftliche Bereitschaft für AnpassungsinvestitionenIND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
Governance-Bereitschaft für AnpassungIND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
Gesellschaftliche Bereitschaft für AnpassungIND.CLI.adaptation.social_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN social |
Erhaltene internationale Anpassungsfinanzierung pro KopfIND.CLI.adaptation.adaptation_finance_received.pc |
CLI | Adaptation readiness | adaptive capacity | [USD] |
COUNTRY | |
Bevölkerung unter 5 m Höhe, AnteilIND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Häufigkeit schwerer meteorologischer DürreIND.HAZ.drought.spei_drought_frequency |
HAZ | Dürre | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Tage mit gefährlicher feuchter Hitze pro JahrIND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
Tage mit extremem Feuerwetter pro JahrIND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | Waldbrand | hazard | d/a |
COUNTRY, ADM1, GRID | |
Jährliche Verlustrate der BaumbedeckungIND.ENV.land.tree_cover_loss.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, ADM2, GRID | EPI TCL |
Tage mit mariner Hitzewelle pro JahrIND.ENV.ocean.marine_heatwave_days |
ENV | Ocean | hazard | d/a |
COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
BIP in stark naturabhängigen Sektoren, AnteilIND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
Ausmaß des WasserstressesIND.WAT.stress.water_stress |
WAT | Wasserstress | hazard | % |
COUNTRY, ADM1 | SDG 6.4.2 WB_WDI ER.H2O.FWST.ZS |
Effizienz der WassernutzungIND.WAT.stress.water_use_efficiency |
WAT | Wasserstress | adaptive capacity | [USD]/m3 |
COUNTRY | SDG 6.4.1 WB_WDI ER.GDP.FWTL.M3.KD |
BIP in GNSS-abhängigen Tätigkeiten, AnteilIND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Hochspannungsnetz in Zonen hoher geoelektrischer Gefahr, AnteilIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Malaria-InzidenzIND.HLT.burden.malaria_incidence |
HLT | Disease burden and mortality | hazard | /10*3 |
COUNTRY | WB_WDI SH.MLR.INCD.P3 SDG 3.3.3 WHO_GHO SDGMALARIA |
GetreideimportabhängigkeitsquoteIND.FOO.availability.cereal_import_dependency |
FOO | Availability | vulnerability | % |
COUNTRY | FAO_FAOSTAT 21035 |
Kosten der Nahrungsmittelimporte, Anteil an den WarenexportenIND.FOO.prices.food_import_bill_to_exports |
FOO | Food prices | vulnerability | % |
COUNTRY | FAO_FAOSTAT 21033 |
Wertschöpfung von Land- und Forstwirtschaft und Fischerei, Anteil am BIPIND.FOO.agriculture.agri_value_added.gdp |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
Beschäftigung in der Landwirtschaft, Anteil an der GesamtbeschäftigungIND.FOO.agriculture.agri_employment_share |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
Variabilität des Getreideertrags (15 Jahre)IND.FOO.agriculture.cereal_yield_variability |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | |
Vegetation Health Index auf AckerlandIND.FOO.agriculture.vegetation_health_index |
FOO | Agricultural production and dependence | hazard | {score} |
COUNTRY, ADM1, ADM2, GRID | |
Wert des Geschäftsumfelds (B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
Bevölkerung mit Zugang zu ElektrizitätIND.ENE.access.electricity_access |
ENE | Zugang | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.1 WB_WDI EG.ELC.ACCS.ZS |
Bevölkerung, die überwiegend saubere Brennstoffe und Technologien zum Kochen nutztIND.ENE.access.clean_cooking |
ENE | Zugang | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS |
Stromverbrauch pro KopfIND.ENE.access.electricity_consumption.pc |
ENE | Zugang | context | kW.h/a/{person} |
COUNTRY | WB_WDI EG.USE.ELEC.KH.PC |
Anteil erneuerbarer Energien am gesamten EndenergieverbrauchIND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
Primärenergieintensität des BIPIND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
Konzentration des StromerzeugungsmixesIND.ENE.mix.generation_concentration |
ENE | Energy mix | vulnerability | 1 |
COUNTRY | |
Fossiler Anteil an der StromerzeugungIND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
Installierte erneuerbare Erzeugungskapazität pro KopfIND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
Wasserabhängige Stromerzeugung, AnteilIND.ENE.mix.water_dependent_generation.share |
ENE | Energy mix | vulnerability | % |
COUNTRY, ADM1 | |
Netto-EnergieimportabhängigkeitIND.ENE.security.net_energy_imports |
ENE | Supply security and import dependence | exposure | % |
COUNTRY | WB_WDI EG.IMP.CONS.ZS |
Kosten der Brennstoffimporte, Anteil an den Exporten von Waren und DienstleistungenIND.ENE.security.fuel_import_bill.exports |
ENE | Supply security and import dependence | vulnerability | % |
COUNTRY | WB_WDI TM.VAL.FUEL.ZS.UN |
Lieferantenkonzentration bei Importen von Rohöl und ÖlproduktenIND.ENE.security.oil_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Lieferantenkonzentration bei ErdgasimportenIND.ENE.security.gas_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Lieferantenkonzentration bei KohleimportenIND.ENE.security.coal_import_concentration |
ENE | Supply security and import dependence | vulnerability | 1 |
COUNTRY | |
Ölvorräte in Tagen der NettoimporteIND.ENE.security.strategic_oil_stocks |
ENE | Supply security and import dependence | coping capacity | d |
COUNTRY | |
Stromausfälle bei Unternehmen in einem typischen MonatIND.ENE.reliability.firm_power_outages |
ENE | Reliability | vulnerability | /mo |
COUNTRY | WB_WDI IC.ELC.OUTG |
Verluste durch Stromausfälle, Anteil am UnternehmensumsatzIND.ENE.reliability.outage_sales_loss |
ENE | Reliability | impact | % |
COUNTRY | WB_WDI IC.FRM.OUTG.ZS |
Durchschnittliche Unterbrechungsdauer im System (SAIDI)IND.ENE.reliability.saidi |
ENE | Reliability | vulnerability | h/a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Durchschnittliche Unterbrechungshäufigkeit im System (SAIFI)IND.ENE.reliability.saifi |
ENE | Reliability | vulnerability | /a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Übertragungs- und Verteilungsverluste bei StromIND.ENE.reliability.td_losses |
ENE | Reliability | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.LOSS.ZS |
Heiz- und KühlgradtageIND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
Lieferantenkonzentration bei Importen kritischer MineralienIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Anteil des größten Einzellieferanten an den Importen kritischer MineralienIND.ENE.minerals.critical_mineral_top_supplier_share |
ENE | Critical minerals | vulnerability | % |
COUNTRY | |
LogistikleistungIND.INF.transport.logistics_performance |
INF | Transport | coping capacity | {score} |
COUNTRY | WB_WDI LP.LPI.OVRL.XQ |
Linienschifffahrtsanbindung im Verhältnis zur BestmarkeIND.INF.transport.liner_shipping_connectivity |
INF | Transport | coping capacity | % |
COUNTRY | WB_WDI IS.SHP.GCNW.XQ |
Resilienz des StromnetzesIND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Anlagen der Stromerzeugung und des Stromnetzes in Zonen hoher Gefahr, AnteilIND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Infrastruktur-Investitionslücke, Anteil am BIPIND.INF.utilities.infrastructure_investment_gap.gdp |
INF | Utilities | vulnerability | % |
COUNTRY | |
City electricity interruption hours per customerIND.INF.urban.power_interruption_hours |
INF | Urban systems | vulnerability | h/a |
CITY | ISO_37120 ISO 37120:2018 |
Wertschöpfung von IKT-Dienstleistungen, Anteil am BIPIND.CYB.dependence.ict_services_share.gdp |
CYB | Digital dependence | exposure | % |
COUNTRY | WB_WDI BX.GSR.CCIS.ZS |
Bruttoinlandsausgaben für F&E, Anteil am BIPIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Forschende je Million EinwohnerIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Hochtechnologieexporte, Anteil an den Exporten von IndustrieerzeugnissenIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Lieferantenkonzentration bei HalbleiterimportenIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Anbieterkonzentration bei Cloud-InfrastrukturIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
KI-Rechenkapazität unter ausländischer Kontrolle oder Kontrolle eines einzelnen AnbietersIND.TEC.ai.ai_compute_foreign_control |
TEC | Künstliche Intelligenz | vulnerability | % |
COUNTRY | |
Anbieterkonzentration bei BasismodellenIND.TEC.ai.foundation_model_concentration |
TEC | Künstliche Intelligenz | vulnerability | % |
COUNTRY | |
Aufsicht über biologische Sicherheit und Biosicherheit von HochsicherheitslaborenIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotechnologie | coping capacity | {score} |
COUNTRY |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| Familie | Domäne | Gefahren | Count |
|---|---|---|---|
| AI system failure and misalignment | Grenz- und Exponentialtechnologien | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | Grenz- und Exponentialtechnologien | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | Grenz- und Exponentialtechnologien | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | Grenz- und Exponentialtechnologien | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | Grenz- und Exponentialtechnologien | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | Grenz- und Exponentialtechnologien | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| Biotechnologie und synthetische Biologie | Grenz- und Exponentialtechnologien | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | Grenz- und Exponentialtechnologien | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | Grenz- und Exponentialtechnologien | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | Grenz- und Exponentialtechnologien | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Technologien zur Klimaintervention | Grenz- und Exponentialtechnologien | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | Grenz- und Exponentialtechnologien | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | Grenz- und Exponentialtechnologien | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Grenz- und Exponentialtechnologien | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Grenz- und Exponentialtechnologien | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | Grenz- und Exponentialtechnologien | Smart-contract and oracle exploit | 1 |
| Structural and civil failure | Gebaute Systeme | Building collapse, Facade and cladding failure, Non-building structure failure, Bridge failure, Tunnel failure, Dam failure, Levee breach, Pipeline rupture | 8 |
| Utility and communication network outage | Gebaute Systeme | Widespread power outage, Water supply failure, Sewer and drain failure, Gas supply network failure, Telecommunications outage, Emergency communications failure | 6 |
| Transport accidents | Gebaute Systeme | Air transport accident, Maritime accident, Inland waterway accident, Rail accident, Road crash | 5 |
| Industrial and process accidents | Gebaute Systeme | Industrial explosion, Reactive chemical store explosion, Industrial fire, Building and urban fire, Explosives accident, Mine accident, Oil and gas extraction accident, Battery thermal runaway fire … | 15 |
| Energy system instability and shortfall | Gebaute Systeme | Low-inertia grid instability, System frequency collapse, Voltage collapse, Mass inverter disconnection, Grid power oscillation, Generation adequacy shortfall, Low wind and solar energy drought, Drought-driven hydropower shortfall … | 22 |
| Water and wastewater system failure | Gebaute Systeme | Wastewater treatment plant failure, Distribution network contamination intrusion, Water treatment dosing error, Prolonged drinking-water advisory, Desalination plant outage, Raw-water intake loss, Chronic distribution leakage, Intermittent piped supply … | 9 |
| Telecom and data-centre failure | Gebaute Systeme | Data-centre outage, Data-centre fire, Mobile or fixed core network failure, Terrestrial fibre backbone cut, Internet exchange or landing hub failure, Time and synchronisation failure, Telecom backup power exhaustion, Broadcast transmission loss | 8 |
| Space-based service loss | Gebaute Systeme | Navigation satellite system fault, Satellite communications outage, Weather and Earth-observation satellite gap, Satellite ground segment failure | 4 |
| Seabed infrastructure damage | Gebaute Systeme | Subsea pipeline damage, Subsea power cable damage, Covert seabed infrastructure sabotage | 3 |
| Transport network disruption | Gebaute Systeme | Air traffic management failure, Large-scale airspace closure, Rail network outage, Heat-induced track buckling, Strategic road network closure, Low-water navigation restriction, Navigation lock or canal structure failure, Dangerous goods transport accident … | 12 |
| Food system infrastructure failure | Gebaute Systeme | Food storage loss, Irrigation system failure, Food processing bottleneck, Strategic food reserve depletion, Loss of energy for food production | 5 |
| Urban and building-stock stress | Gebaute Systeme | Building overheating, Seismically and structurally vulnerable stock, Defective building material in use, Construction and temporary works collapse, Tunnelling and excavation ground damage, High-rise evacuation failure | 6 |
| Ageing and degraded infrastructure | Gebaute Systeme | Infrastructure deterioration, Deferred maintenance backlog, Reinforced concrete deterioration, Metal fatigue cracking, Ageing dam and reservoir stock, Legacy technology obsolescence, Infrastructure skills shortage | 7 |
How this risk can move to 2100
Method libraries
Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.
Energierisiko
Generation Adequacy · Load Forecasting · Renewable Intermittency · Reserve Margin · Loss of Load Probability · Expected Unserved Energy · Grid Reliability …
Märkte, Handel und Lieferketten
Commodity Price Risk · Price Volatility · Market Regime · Demand Forecasting · Supply Forecasting · Trade Dependency · Bilateral Concentration …
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
Banks, asset managers and sovereign investors
Read sovereign and systemic context. Run climate pathway packs. Build portfolio postures.
Companies and supply chains
Screen sites and suppliers. Watch chokepoints and pulse. Read country context.
International financial institutions and development banks
Screen country and project context. Read fiscal resilience and protection gaps. Design pre-arranged finance questions.
Nexus Reports
- Edition code
XT-13- Edition status
- geplant
- Gegenstand
- Set by Nexus Reports at commissioning
Zitieren und weiterverwenden
- Series key
grix:SER.XT-13:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:A
Every country reads this series
Each country profile carries the domain indices this series is built from.
Status
Methodik, Struktur und Definitionen des Global Risks Index sind ein vorbereitender Arbeitsentwurf (2026), der zur Prüfung und Stellungnahme und nicht zur Umsetzung verbreitet wird. Kein Wert erscheint, bevor eine Ausgabe aus einem geregelten Evidenzschnitt veröffentlicht ist; die Werte tragen dann Intervalle, Klassen, Quellen und ihren Korrekturweg. Die Simulatoren wenden die veröffentlichten Methoden auf Zahlen an, die Sie wählen, und zeigen niemals einen NXS-GRX-Wert.
Was NXS-GRX nicht ist
NXS-GRX ist eine Forschungs- und Risikoanalyseinformation. Es ist kein Kredit- oder ESG-Rating und verwendet keine Ratingskala, kein Referenzwert für Finanzinstrumente, keine amtliche Statistik, keine Notfallwarnung oder amtliche Einstufung und keine Beratung. Es darf nicht zur Bewertung natürlicher Personen verwendet werden. Risikoklassen sind Bänder auf einer veröffentlichten Skala, niemals Rangfolgen von Ländern oder Personen.
Institutionen und Quellen
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
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Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.